chinux23 / NeuralNetworkAsTradingStrategyLinks
Use Neural Network as a trading strategy model
☆29Updated 7 years ago
Alternatives and similar repositories for NeuralNetworkAsTradingStrategy
Users that are interested in NeuralNetworkAsTradingStrategy are comparing it to the libraries listed below
Sorting:
- Paper: https://arxiv.org/pdf/2008.12275.pdf☆26Updated 4 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 7 years ago
- Predicting a Stock Price Using a Genetic Algorithm☆16Updated 7 years ago
- finance☆43Updated 7 years ago
- Implementation for "Statistical arbitrage in the US equities market" by Marco Avellaneda and Jeong-hyun Lee☆21Updated 6 years ago
- ☆19Updated 4 years ago
- a unified environment for supervised learning and reinforcement learning in the context of quantitative trading☆45Updated 4 years ago
- Deep learning for price movement prediction using high frequency limit order data☆40Updated 6 years ago
- Deep Reinforcement Learning applied to trading☆15Updated 6 years ago
- Automated FOREX trading using recurrent reinforcement learning☆33Updated 2 years ago
- ☆22Updated 5 years ago
- Machine learning approach to high frequency trading, MLP & RNN used☆22Updated 9 years ago
- Hedging portfolios with reinforcement learning.☆35Updated 7 years ago
- Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…☆14Updated 3 years ago
- Stock Market Prediction Using Unsupervised Features☆54Updated 6 years ago
- In the high-frequency era of trading, orders of stocks can be executed under a millsecond. The information about the thousands of orders …☆10Updated 9 years ago
- Visualization of the full depth of the order book along time☆21Updated 5 years ago
- tools for alpha research☆23Updated 7 years ago
- Exploring Optimal Order Execution in Simulated Limit Order Books☆18Updated 2 years ago
- Trend Prediction for High Frequency Trading☆42Updated 2 years ago
- Limit Order Book for high-frequency trading (HFT) strategies using data science approaches☆23Updated 3 years ago
- I use the random forest algorithm to forecast mid price dynamic over short time horizon i.e. a few seconds ahead☆28Updated 5 years ago
- Event-driven Algorithmic Trading For Python☆25Updated 6 years ago
- A Python toolkit for high-frequency trade research.☆40Updated 7 years ago
- Collection of numerical methods for high frequency data, in Python notebooks☆13Updated 4 years ago
- sharpe is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinfo…☆50Updated 3 years ago
- A simply framework of researching stock data through LSTM by Tensorflow☆17Updated 6 years ago
- CVXPY Portfolio Optimization Sample☆45Updated 8 years ago
- Modelling for price change forecast using High-frequency Trading limit order book dynamics using ML algorithms☆25Updated 7 years ago
- Probabilistic and Directional Relu Wavenet with forex and economic news data☆25Updated 5 years ago